addyosmani/agent-skills: Production-grade engineering skills for AI coding agents.
Production-grade engineering skills for AI coding agents. - addyosmani/agent-skills
Technical Guide
Summary
The blog shows how to build reliable long‑running OpenAI agents by combining Skills, hosted Shell containers, and server‑side context compaction. It gives concrete patterns for skill schema design, container reuse, network allowlists, and artifact handling.
Highlights
- Skills provide reusable, versioned instruction bundles that can be loaded on demand.
- Hosted Shell runs code in secure, warm containers for continuity across calls.
- Server‑side compaction automatically compresses history to stay under token limits.
- Write precise skill schemas with negative examples and store prompt templates inside skills.
- Reuse the same container, lock down network allowlists, and use /mnt/data for persisted artifacts.
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Context
Audience
Developers building production‑grade AI agents and engineers interested in agentic workflow design
DomainGenerative AI Agent Development
Formatblog article with code snippets
Accessfree online
Source Overview
OpenAI introduces skills, hosted shell, and server-side compaction in the Responses API for long-running agents handling tasks like dataset reading and file updates.
Skills provide reusable, versioned instruction bundles loaded on demand; shell enables execution in controlled containers; compaction automatically compresses history to avoid context limits. Tips include writing precise skill descriptions with negative examples, storing templates in skills, reusing containers for continuity, enforcing strict network allowlists, and using /mnt/data for artifacts.
Topics
Related
OpenAI Responses API docsLangChain agentsLLMOps patternsPrompt engineeringContainer security
